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Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment

Measuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment An... Full description

Journal Title: Energy Policy April 2018, Vol.115, pp.119-130
Main Author: Zhang, Yue-Jun
Other Authors: Sun, Ya-Fang , Huang, Junling
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: ScienceDirect Journals (Elsevier)
ID: ISSN: 0301-4215 ; E-ISSN: 1873-6777 ; DOI: 10.1016/j.enpol.2017.12.056
Link: https://www.sciencedirect.com/science/article/pii/S0301421517308807
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recordid: elsevier_sdoi_10_1016_j_enpol_2017_12_056
title: Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment
format: Article
creator:
  • Zhang, Yue-Jun
  • Sun, Ya-Fang
  • Huang, Junling
subjects:
  • Total Factor Energy Efficiency
  • Total Factor Carbon Emission Performance
  • Meta-Frontier Non-Radial Directional Distance Function
  • Cdm Project Investment
  • Dea Window Analysis
  • Panel Quantile Regression
  • Engineering
  • Environmental Sciences
  • Economics
ispartof: Energy Policy, April 2018, Vol.115, pp.119-130
description: Measuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment Analysis (DEA) window analysis to measure the total factor energy efficiency and carbon emission performance of leading countries involved in CDM projects during 1990–2015. This study employs the panel quantile regression to investigate the dynamic impact of CDM projects on different energy efficiency and carbon emission performance of CDM host countries. The results indicate that, first of all, the total factor energy efficiency and carbon emission performance of CDM host countries appear much lower than those of investment countries. Second, the technology gap of energy-use and carbon emissions reduction between CDM host and investment countries is significant. Finally, with the increase...
language: eng
source: ScienceDirect Journals (Elsevier)
identifier: ISSN: 0301-4215 ; E-ISSN: 1873-6777 ; DOI: 10.1016/j.enpol.2017.12.056
fulltext: no_fulltext
issn:
  • 0301-4215
  • 03014215
  • 1873-6777
  • 18736777
url: Link


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subjectTotal Factor Energy Efficiency ; Total Factor Carbon Emission Performance ; Meta-Frontier Non-Radial Directional Distance Function ; Cdm Project Investment ; Dea Window Analysis ; Panel Quantile Regression ; Engineering ; Environmental Sciences ; Economics
descriptionMeasuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment Analysis (DEA) window analysis to measure the total factor energy efficiency and carbon emission performance of leading countries involved in CDM projects during 1990–2015. This study employs the panel quantile regression to investigate the dynamic impact of CDM projects on different energy efficiency and carbon emission performance of CDM host countries. The results indicate that, first of all, the total factor energy efficiency and carbon emission performance of CDM host countries appear much lower than those of investment countries. Second, the technology gap of energy-use and carbon emissions reduction between CDM host and investment countries is significant. Finally, with the increase...
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Measuring the energy conservation and carbon emission reduction potential proves the fundamental basis for stakeholders in the cooperation over Clean Development Mechanism (CDM) projects. This research adopts the meta-frontier non-radial directional distance function based on the Data Envelopment Analysis (DEA) window analysis to measure the total factor energy efficiency and carbon emission performance of leading countries involved in CDM projects during 1990–2015. This study employs the panel quantile regression to investigate the dynamic impact of CDM projects on different energy efficiency and carbon emission performance of CDM host countries. The results indicate that, first of all, the total factor energy efficiency and carbon emission performance of CDM host countries appear much lower than those of investment countries. Second, the technology gap of energy-use and carbon emissions reduction between CDM host and investment countries is significant. Finally, with the increase...

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